Proactive AI agents could sharply increase demand for inference computing
AI agents, including OpenClaw and ChatGPT, are largely user-prompted today, but a more proactive model could keep analyzing context and prepare help before a request. One possible use would be checking a calendar for an upcoming interview and assembling research for it; this was an example, not a product plan.
Always-on agents would pose a hardware challenge as well as a design challenge: the approach could require substantial inference computing and more chips.
